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DevOps Engineer (AWS / Kubernetes / MLOps)

Staffing Partner·Salary not specified

Primary stack

AWSAPIKubernetesCI/CDJenkinsTerraformTerragruntCloudFormationLinuxPython

Nice to have's

HelmIstioLinkerdTraefikAPITrivyPrometheusGrafanaDatabricksAWS Lambda

Job description

About the Position

DevOps Engineer (AWS / Kubernetes / MLOps)

United States

We are seeking a skilled DevOps Engineer with expertise in AWS, Kubernetes, and MLOps to join our team and optimize our cloud infrastructure and CI/CD pipelines.

Responsibilities

  • Provision and manage cloud resources using Terraform, Terragrunt, and CloudFormation
  • Build and optimize CI/CD pipelines (GitLab CI/CD, Jenkins) for application and ML model deployments
  • Operate and scale ML platform infrastructure including Databricks clusters and model-serving endpoints
  • Implement cloud security best practices (IAM/RBAC, encryption, vulnerability management)
  • Maintain monitoring, logging, and alerting with Prometheus, Grafana, Coralogix, and CloudWatch
  • Support incident response and perform root cause analysis for infrastructure and deployment issues

Requirements

  • Must-Have Requirements

    • DevOps/SRE (3+ yrs)
    • AWS (EC2, S3, RDS, Lambda, IAM, VPC, SQS, API Gateway)
    • Kubernetes
    • Amazon EKS
    • CI/CD (GitLab CI/CD, Jenkins)
    • Infrastructure as Code (Terraform, Terragrunt, CloudFormation)
    • Linux administration
    • Networking fundamentals
    • Python
    • Bash
    • AI-assisted engineering tooling
    • Supporting ML/compute-intensive production workloads
  • Nice-to-Have

    • Google Cloud / multi-cloud
    • Helm
    • Service mesh (Istio, Linkerd, Traefik)
    • Serverless & event-driven (Lambda, API Gateway, SQS)
    • Cloud security (Nessus, Prowler, Trivy)
    • Observability (Coralogix, Prometheus, Grafana)
    • FinOps
    • API gateways (Kong, Apigee)
    • MLOps (Databricks, model serving, ML pipelines, model monitoring)

Ways of Working

  • Collaborate with international teams across multiple time zones
  • Partner with Software Engineers, ML Engineers, QA, SDET, and IT Security
  • Apply DevSecOps principles across infrastructure and deployment workflows

We Offer

  • Direct-hire (FTE) position, US-based
  • Benefits: 15 days vacation plus holidays, medical/dental/vision/life/disability insurance, 401(k), paid parental leave, work-from-home stipend

About the Company

[Company description if present]

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